Equal Pay research in Hungary and Belgium

Bussum, the Netherlands April 15, 2008Szilvia Borbely

EQUAL project „Equal pay for equal work!” January 2005-April 2008

Target

Adapting and making to function innovative tool to increase female equal opportunities

Tools Website Database Content development Partnership

Specialities Adapting Dutch wageindicator Combination of methods to create

database Including target persons to create

database (needs assessment and training element)

Database: cross-country comparability

Developing trade union strategies

Hungarian database of 10000 samples Representativity

(male/female, age,scholarity,regions, NACE (19/29), ISCO)

Disparities –regional (max32%, min7%

White collar (26%), blue collar (19%)

 

Gross wage EUR

Net wage EUR

Female 531 367

Male 670 447

Wage gap%

21 18

TCA I Explanation of gender wage gap Belgium – 16,5% Function related

variables - characteristics of the jobs of men and women – complexitiy of jobs

Person-related variables-education

Company-related variable: low

Hungary-structural effect (-7%)+high discrimination effect (26%) due mainly to:

Jobs requiring higher or middle education (4%)

Education – higher education (23%)

Years in work (11-20 years: 35%)

Growing % of women in workplace: negative discrimination effect

TCA II: Working conditions of women and men with focus on the reconciliation of duties at work and in the family

Working time Full-time, part-time Organisation of working time Flexibility and security Flexibility in work-time organisation Working contracts as condition of labour

market flexibility Training as condition of re-entrance into the

labour market and labour market security Stress at work

Some example Source WageIndicator dataset Sept. 2004-Sept. 2006; BérBarométer 5000 dataset, October 2006, Hungary

Incidence of permanent employment contract, %

15 7

3017 10 8

85 9369

83 90 92

0%10%20%30%40%50%60%70%80%90%

100%

Woman Man Woman Man Woman Man

Belgium The Netherlands Hungary

Yes

No

Some example

Contract with temporary agency in the percentage of all employees, %

2,5

12,2

10

3,4

13,3

8,5

0

2

4

6

8

10

12

14

Hungary Belgium the Netherlands

Women

Men

Some example

Gaining further qualification, %

32 2448 44 41 39

68 7652 56 59 61

0%10%20%30%40%50%60%70%80%90%

100%

Women Men Women Men Women Men

The Netherlands Hungary Belgium

Yes

No

Some example

Is your work physically exhausting?

21% 18% 19% 14%22% 20%

49% 55%

33%35%

55%58%

19% 18%

17% 20%

16%5%

11% 9%

31% 31%

7% 7%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Wo

me

n

Me

n

Wo

me

n

Me

n

Wo

me

n

Me

n

Belgium Hungary the Netherlands

DailyTotally agree

Frequently

Sometimes

Never/do not agree

Some example

Is your work mentally exhausting?

7% 7% 10% 12% 12% 12%

44% 47%33%

41%54% 54%

33%34%

23%

22%

26% 27%

16% 12%

34%25%

8% 7%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Wo

me

n

Me

n

Wo

me

n

Me

n

Wo

me

n

Me

nBelgium Hungary the

Netherlands

DailyTotally agree

Frequently

Sometimes

Never/do not agree

Problems, questions

Minimum requirement of sample number

Time schedule (database development:2006/2007 - yearly wage rise)

Gross or net wage? Use hourly or monthly wage? Methodology to calculate the pay gap